Dimensions overall score 9.0

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• ChatSVA achieves 98.66% syntax pass rate and 96.12% functional pass rate on 24 RTL designs.result 95%
• ChatSVA generates 139.5 SVAs per design with 82.50% function coverage.result 95%
• ChatSVA represents a 33.3 percentage point improvement in functional correctness compared to previous state-of-the-art.result 90%
• ChatSVA achieves over 11x enhancement in function coverage compared to previous state-of-the-art.result 90%
• ChatSVA uses a multi-agent framework to decompose SVA generation into distinct steps, improving functional correctness.method 85%
• The AgentBridge platform generates high-purity datasets to overcome data scarcity in few-shot scenarios.technical 85%
• Manual SVA authoring is labor-intensive and error-prone, consuming over 50% of the IC development lifecycle.market 80%
• The system requires a well-defined specification, which might not always be available, and performance might vary depending on hardware design complexity.limitation 80%

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